Improving smartphone position and attitude for geospatial augmented reality applications

Augmented reality is a technology that visualizes and synthesizes virtual objects and information in the real world. Augmented reality can provide useful information to the real world realistically. As the investment and demand for augmented reality increase, many researches have been conducted to visualize objects based on ground coordinate system such as cadastral information and underground facilities using augmented reality. In order to visualize objects based on the ground coordinate system on a smartphone using augmented reality, high accuracy of the position and attitude of the smartphone is essential. Accordingly, this study proposed position and attitude correction method for the first image using reference images and single photo resection. Then, the absolute position of the entire image was estimated using the first calibrated image and the tracking algorithm. When the reference image-based correction method was used, the accuracy was 0.74m, 0.94m. And when the single photo resection correction method was used, the accuracy was 3.13m, 1.24m. The method presented in this study showed higher accuracy when only the sensor was used, but it was confirmed that errors in position and attitude occur as the tracking error accumulates.